I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. (对工业界学术界的CTR推荐调研并实现25个算法模型,2023)
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Updated
Sep 25, 2023 - Jupyter Notebook
I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. (对工业界学术界的CTR推荐调研并实现25个算法模型,2023)
The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-Domain Recommendation.
Source code for GIFT (CIKM 22)
Get AUC 0.809 at Criteo dataset by MLP
Get AUC 0.794 at Movielens 20M dataset
Logging some competitions in the field of data mining.
This respository is used to log some deep learning based recommendation models.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
웹 광고 클릭률 예측 AI 경진대회, DACON (2024.05.07 ~ 2024.06.03)
datawhale&科大讯飞举办的学习挑战赛————“广告点击率预估挑战赛” Rank9 方案
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